AWS Data Engineer

Role: AWS Data Engineer Location: Hyderabad Experience: 3 to 10 years Employment Type: Full-Time Work Mode: Hybrid Required Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Must have 3–10 years of experience in Data Engineering and AWS-based data solutions. Strong hands-on experience with AWS Glue, Lambda, and S3. Experience building and optimizing ETL pipelines using Python, SQL, and PySpark. Hands-on experience with Terraform for infrastructure provisioning and management. Good understanding of cloud-native architectures and data lake concepts. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using AWS services. Build and optimize data processing workflows using AWS Glue, Lambda, and S3. Develop and manage data ingestion, transformation, and integration processes. Implement and maintain cloud infrastructure using Terraform (Infrastructure as Code). Develop data processing applications using Python, PySpark, and SQL. Work closely with data architects, analysts, and business stakeholders to understand data requirements. Ensure data quality, integrity, security, and governance across data platforms. Optimize data pipelines for performance, scalability, and reliability. Monitor and troubleshoot production data workflows and resolve issues proactively. Participate in code reviews, design discussions, and best practice implementation. Regards, Manvendra Singh [HIDDEN TEXT]